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Apraava Energy

Management Trainee

Posted Yesterday
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In-Office
Delhi, Connaught Place, New Delhi, Delhi, IND
Entry level
In-Office
Delhi, Connaught Place, New Delhi, Delhi, IND
Entry level
As a Management Trainee, you will support digital transformation by developing AI-driven analytical models, dashboards, and digital tools to improve operational efficiency and market performance in renewable energy.
The summary above was generated by AI
  1.   SKILLS AND KNOWLEDGE

Educational Qualifications

M.Tech / B.Tech in Renewable Energy, Electrical Engineering, Data Science, Artificial Intelligence, or related discipline

 

Functional Skills

  • Python / R / similar analytics tools; machine learning techniques; data analytics and statistical

    modelling

  • Experience with Power BI, Tableau, or similar dashboard tools
  • Strong analytical and problem-solving capability with ability to translate business problems into analytical solutions

Relevant and total years of Experience

Overall experience: MBA fresher 0–2 years of experience in AI, data analytics, or digital solutions development

Experience or exposure to power markets, renewable energy forecasting, grid operations, or energy analytics



  1. PRINCIPAL ACCOUNTABILITIES


Accountabilities Major Activities Support to organization’s digital transformation
  • Identify opportunities for the application of AI, data analytics, and digital technologies across business functions to improve operational efficiency and decision-making.
  • Develop analytical models and digital tools to support asset management, forecasting & scheduling, and operational optimization.
  • Support digital initiatives related to asset monitoring, digital twin frameworks, predictive maintenance, and performance optimization.
  • Develop analytical tools to support power market participation, bidding optimization, forecasting accuracy, and DSM management.
  • Analyse operational and market data to generate insights that improve generation performance, trading outcomes, and operational efficiency.
  • Develop dashboards, analytical reports, and decision-support systems to enable monitoring of operational and commercial performance.
  • Identify opportunities for process improvement and automation using AI and data analytics technologies.
  • Support implementation of the Digitalization Strategy and
  • Roadmap by translating analytical models into practical business tools.

Top Skills

Data Analytics
Machine Learning
Power BI
Python
R
Statistical Modelling
Tableau

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